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SVIP: Sequence VerIfication for Procedures in Videos. (arXiv:2112.06447v4 [cs.CV] UPDATED)
Web: http://arxiv.org/abs/2112.06447
May 11, 2022, 1:10 a.m. | Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao
cs.CV updates on arXiv.org arxiv.org
In this paper, we propose a novel sequence verification task that aims to
distinguish positive video pairs performing the same action sequence from
negative ones with step-level transformations but still conducting the same
task. Such a challenging task resides in an open-set setting without prior
action detection or segmentation that requires event-level or even frame-level
annotations. To that end, we carefully reorganize two publicly available
action-related datasets with step-procedure-task structure. To fully
investigate the effectiveness of any method, we collect …
More from arxiv.org / cs.CV updates on arXiv.org
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